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An Event-Based Kalman Filter for Clock Synchronization

机译:基于事件的卡尔曼滤波器进行时钟同步

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The distribution of a time reference has long been a significant research topic in measurement and different solutions have been proposed over the years. In this context, the design of servo clocks plays an important role to get better performances by smoothing the influence of noise sources affecting a synchronization system. A servo clock is asked to provide an adaptive and conservative measure of the time distance between the local clock and the time reference by minimizing, if possible, the energy consumption. In this paper, we propose a servo clock based on an efficient implementation of the Kalman filter (KF), called in the following event-based KF that allows to overcome drawbacks of existing KF-based servo clocks with furthermore a significant reduction of the computational cost. An in-depth analysis of the synchronization uncertainty has been reported to completely characterize the proposed solution; and finally, some guidelines on how to correctly initialize the KF are provided.
机译:长期以来,时间基准的分布一直是测量中的重要研究课题,多年来提出了各种解决方案。在这种情况下,伺服时钟的设计起着重要的作用,它通过消除影响同步系统的噪声源的影响来获得更好的性能。要求伺服时钟通过将能量消耗最小化来提供本地时钟和时间参考之间的时间距离的自适应且保守的度量。在本文中,我们提出了一种基于卡尔曼滤波器(KF)的高效实现的伺服时钟,在以下基于事件的KF中进行了调用,该时钟可克服现有基于KF的伺服时钟的缺点,并大大减少了计算量成本。据报道,对同步不确定性进行了深入分析,以完全表征所提出的解决方案。最后,提供了一些有关如何正确初始化KF的准则。

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